Whatnot Seller Review Scraper — Extract Ratings & Reviews avatar

Whatnot Seller Review Scraper — Extract Ratings & Reviews

Pricing

from $1.00 / 1,000 reviews

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Whatnot Seller Review Scraper — Extract Ratings & Reviews

Whatnot Seller Review Scraper — Extract Ratings & Reviews

Scrape Whatnot seller reviews and ratings in bulk — average rating, review text, shipping rating, reviewer username, and seller response. No API key needed. Export as JSON, CSV, or Excel. Ideal for seller reputation analysis, competitor monitoring, and market research on Whatnot.com.

Pricing

from $1.00 / 1,000 reviews

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0.0

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Developer

Epic Scrapers

Epic Scrapers

Maintained by Community

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1

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2 days ago

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Whatnot Seller Review Scraper — Extract Customer Reviews & Ratings

Extract customer reviews and ratings from any Whatnot seller profile in bulk. Get average rating, review text, shipping rating, reviewer usernames, seller responses, and more — without an API key.


🎯 Why Scrape Whatnot Seller Reviews?

Seller reviews reveal the true reputation behind a Whatnot profile. Whether you're a buyer doing due diligence, a seller researching competitors, or a data analyst tracking marketplace trends, review data gives you the signal you need.

Use cases:

  • Seller reputation analysis — Verify a seller's track record before buying high-value items
  • Competitor monitoring — Track how competing sellers are rated on shipping, packaging, and overall experience
  • Market research — Analyze review sentiment across categories (sneakers, trading cards, collectibles, vintage)
  • Lead validation — Screen potential wholesale partners or suppliers by their review history
  • Buyer protection — Spot patterns in negative reviews (slow shipping, inaccurate descriptions) at a glance

📊 What Data You Get

Every review record includes:

FieldDescription
sellerIdNumeric Whatnot seller ID
sellerUsernameSeller's handle on Whatnot
averageRatingOverall star rating (1.0–5.0)
overallReviewFull review text written by buyer
reviewedOnDate the review was posted
ratingOverallOverall rating numeric value
ratingShippingShipping rating numeric value
reviewedByUsername of the buyer who left the review
sellerResponseSeller's reply to the review (if any)
fetchedAtTimestamp when data was collected

🚀 How It Works

  1. Enter sellers — Provide a list of Whatnot usernames or user IDs
  2. Set your limit — Choose how many recent reviews to pull per seller
  3. Run it — Reviews are fetched and flattened into individual records
  4. Export — Download the data as JSON, CSV, or Excel

No authentication, no login, no API key required. Just seller data, fast.


📝 Example Output

{
"sellerId": "41626782",
"sellerUsername": "club404",
"averageRating": 5,
"overallReview": "Achat nikel et envoie rapide. Une petite tâche sur la J4RM à l'arrivé mais rien de méchant et dû au transporteur (certainement un colis qui a percé le plastique de protectiom). RAS merci la team",
"reviewedOn": "Sun, 17 May 2026 12:58:02 GMT",
"ratingOverall": 5,
"ratingShipping": 5,
"reviewedBy": "lassyl",
"sellerResponse": null,
"fetchedAt": "2026-05-17T17:55:38.061Z"
}

Paste your actual output here.


💡 Who Is This For?

  • Whatnot buyers — Research sellers before you bid
  • Resellers & collectors — Vet trading partners and find reputable sellers
  • E-commerce analysts — Track seller performance metrics over time
  • Data teams — Build dashboards on marketplace seller health
  • Due diligence specialists — Audit seller reputation at scale

✨ Features

  • Bulk seller lookup — Usernames or user IDs, one batch or many
  • Flattened records — Each review is its own clean row, ready for analysis
  • All reviews paginated — No hard limits beyond what you set
  • No API key — Works against Whatnot's public data layer
  • Export ready — Clean structured data for spreadsheets or databases